A new approach for circuit design optimization genetic algorithm

Zhiguo Bao, Takahiro Watanabe

研究成果: Conference contribution

17 被引用数 (Scopus)

抄録

A circuit designed by human often results in very hardware architectures, requiring a large amount of and computational resources. A wider objective is to find novel solutions to design such complex architectures that system functionality and performance may not be. Design automation using reconfigurable hardware Evolutionary Algorithms (EA), such as Genetic Algorithm (GA), is one of the methods to tackle this issue. This concept the notion of Evolvable Hardware (EHW) to the problem such as novel design solutions and circuit optimization. is a new field about the use of EA to synthesize a circuit. manipulates a population of individuals where each describes how to construct a candidate for a good. Each circuit is assigned a fitness, which indicates how a candidate satisfies the design specification. EA uses operators repeatedly to evolve new circuit from existing ones, and a resultant circuit will exhibit a desirable behavior. In this paper, circuit design by using GA with fitness function of circuit complexity, power and time delay is, and its effectiveness is shown by simulations.

本文言語English
ホスト出版物のタイトル2008 International SoC Design Conference, ISOCC 2008
ページI383-I386
DOI
出版ステータスPublished - 2008 12 1
イベント2008 International SoC Design Conference, ISOCC 2008 - Busan, Korea, Republic of
継続期間: 2008 11 242008 11 25

出版物シリーズ

名前2008 International SoC Design Conference, ISOCC 2008
1

Conference

Conference2008 International SoC Design Conference, ISOCC 2008
CountryKorea, Republic of
CityBusan
Period08/11/2408/11/25

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

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